safe LLM fine-tuning. Code is available at: https://github.com/criticalml-uw/SafeTuneBed [7/7 of https://arxiv.org/abs/2506.00676v1]
June 3, 2025 at 6:17 AM
safe LLM fine-tuning. Code is available at: https://github.com/criticalml-uw/SafeTuneBed [7/7 of https://arxiv.org/abs/2506.00676v1]
🔥If you are a PI and want to collaborate, or a student who wants to join my excellent team at #CriticalML drop me a line. We are leading the next wave of innovation at #UWaterloo and are showcasing what inclusive excellence looks like in #AI #ML.
February 9, 2025 at 5:32 PM
🔥If you are a PI and want to collaborate, or a student who wants to join my excellent team at #CriticalML drop me a line. We are leading the next wave of innovation at #UWaterloo and are showcasing what inclusive excellence looks like in #AI #ML.
💡Okay, I am so excited to announce the preprint of my lab’s work on memory and time-efficient training of #LLMs, especially with #DeepSeek’s success bringing this to the centerstage! arxiv.org/abs/2502.01586 #CriticalML #AI #ML
SubTrack your Grad: Gradient Subspace Tracking for Memory and Time Efficient Full-Parameter LLM Training
Training Large Language Models (LLMs) demand significant time and computational resources due to their large model sizes and optimizer states. To overcome these challenges, recent methods, such as BAd...
arxiv.org
February 9, 2025 at 5:30 PM
💡Okay, I am so excited to announce the preprint of my lab’s work on memory and time-efficient training of #LLMs, especially with #DeepSeek’s success bringing this to the centerstage! arxiv.org/abs/2502.01586 #CriticalML #AI #ML